config/agents/skills/mdream/SKILL.md
Ultra-performant HTML to Markdown Convertor Optimized for LLMs and llm.txt artifacts. ALWAYS use when writing code importing "mdream". Consult for debugging, best practices, or modifying mdream.
npx skillsauth add edmundmiller/dotfiles mdreamInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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mdreamUltra-performant HTML to Markdown Convertor Optimized for LLMs and llm.txt artifacts.
Version: 0.16.0 (Feb 2026) Deps: cac@^6.7.14, pathe@^2.0.3, tinyglobby@^0.2.15 Tags: latest: 0.16.0 (Feb 2026)
References: package.json — exports, entry points • README — setup, basic usage • GitHub Issues — bugs, workarounds, edge cases • Releases — changelog, breaking changes, new APIs
Use npx -y skilld search instead of grepping .skilld/ directories — hybrid semantic + keyword search across all indexed docs, issues, and releases.
npx -y skilld search "query" -p mdream
npx -y skilld search "issues:error handling" -p mdream
npx -y skilld search "releases:deprecated" -p mdream
Filters: docs:, issues:, releases: prefix narrows by source type.
development
Read-only Linear issue access via the Linear GraphQL API.
data-ai
## <!-- Purpose: Teach agents fast day-to-day memory browse/search/read/sync workflows in pi-context-repo. --> name: searching-memory description: > Search, browse, and inspect memory quickly in pi-context-repo. Use when asked to find prior notes, inspect memory files, locate preferences, or sync recent memory updates. Trigger phrases: "search memory", "list memory files", "find in memory", "read memory file", "memory status", "sync memory". --- # Searching Memory Use this workflow for fast
development
Comprehensive guide for initializing or reorganizing agent memory into a deeply hierarchical file structure. Use when running /init, when user asks to set up memory, or when memory needs a major reorganization. Trigger phrases: "initialize memory", "set up memory", "populate memory", "build my memory", "memory init".
data-ai
Decomposes and reorganizes agent memory files into focused, single-purpose components. Use when memory has large multi-topic blocks, redundancy, or poor organization. Trigger phrases: "defrag memory", "reorganize memory", "clean up memory files", "split memory blocks".